Technologies: R

Tasks

• Development of interactive Shiny web applications
• Implementing effective data visualization practices
• Migration of SAS programs to R
• Automating analytical tasks with R
• Advocate for open source practices

Tasks

• Implementation of data solutions and strategies to business challenges

• Development of solutions with agility and ensuring a good user experience

• Understanding and prioritizing business and stakeholder requirements

• Implementation of the Customer Management System (identification of the project context, their functional and technical requirements)

• Automating analytical tasks with Alteryx

  Participation in the development of a reprocessing and editing solution for financial statements in accordance with the International Financial Reporting Standards - IFRS:

• Understand customer requirements, participate in consulting proposals

• Creation of analytical workflows

  Development of an Analytical banking solution that provides a development environment bringing together a set of techniques and features for performing analyzes:

• Undertaking Processing (cleaning, cleansing, feature engineering and verifying data integrity) of structured and unstructured data

• Performance of machine learning algorithms

• Deriving insights from data and present it to a non-technical audience through presentations and visualization techniques.

  Development of a Data Visualization solution that allows automatic processing of large amounts of information and transforming them into interactive dashboards that easily reflect the functioning of the bank and the results generated by the various actions implemented.

  Technologies: Alteryx, Power BI, Tableau Software

Project: Validation of the Internal Rating System of companies

Technologies: Python

Tasks

• Data handling, cleaning and verification
• Examined the methodologies for constructing internal rating models
• Studied the predictive power of exogenous factors and score functions
• Studied the discriminating power of exogenous factors and score functions
• Analyzed the stability of internal rating models
• Examined the estimates of the probabilities of default
• Designed of data processing solutions and script writing
• Reporting

Project: Construction of Internal Rating Models

Tasks

• Changed the execution of a set of scripts produced under a defined technology to Oracle SQL

Project: Creation of Dashboards for monitoring Corporate Credit Risk

Technologies: R, R Shiny dashboard

Tasks

• Imported the database
• Studied the data quality
• Analyzed data extracted from financial statements
• Analyzed financial ratios
• Studied the migration of companies

Tasks

• Processing of printed documents
• Recognition of tables of financial statements and classification of their text content
• Deployment of classification models using machine learning algorithms and approaches in natural language processing (NLP)
• Key words: Computer Vision, OCR, Image Processing, Machine Learning

Technologies: Python, OpenCV, Tesseract

Project: Construction of a food recommendation system

Technologies: R, Python

Tasks

• Exploration of a dataset about food products sold in several stores
• Processing of textual documents
• Modeling of consumers’food preferences

The Francophone SatRday Conference covered the usage of R for Data Science and Epidemiology. The event was held in French.

• Introduced the Francophone SatRday Conference and each speaker
• Facilitated discussions by the audience and speakers through the Q&A sessions
• Guided related interactions - See here

• Bringing R enthusiasts together to learn new things from each other
• Promoting gender inclusivity among R practitioners and learners
• Helping advocate for the power of R
• Content creator at the social media platforms of R-Ladies Paris
• Organizing R-related workshops/meetups and networking events - See here

• Collaborating on projects, development packages and working groups
• Providing meetings and spaces to support new R users
• Organizing various workshops - See here

• Helping more women become active participants and leaders in the Python open-source community
• Providing a friendly support network for women and a bridge to the larger Python world
• Sharing announcements and tutorials about Python
• Organizing various workshops - See here

• Achieving proportionate representation by encouraging, inspiring, and empowering people of genders currently underrepresented in the R community
• Providing meetings and spaces to support new R users
• Sharing daily news and tutorials about R
• Organizing various workshops - See here

• Organized workshops and practical training in order to strengthen the knowledge of the engineering students - See here
• Established debates around economic issues
• Organized cultural and scientific events
• Organized face-to-face surveys
• Distribution of club magazine editions